C3I Thermal Automotive Dataset

Citation Author(s):
Muhammad Ali
Farooq
National University of Ireland Galway (NUIG)
Waseem
Shariff
National University of Ireland Galway (NUIG)
Faisal
Khan
National University of Ireland Galway (NUIG)
Peter
Corcoran
National University of Ireland Galway (NUIG)
Cosmin
Rotariu
Xperi Corporation
Submitted by:
Muhammad Ali Farooq
Last updated:
Sat, 03/26/2022 - 12:16
DOI:
10.21227/jf21-rt22
Data Format:
*.avi; *.png; *.csv; *.zip
Links:
C3I (Center for Computational, Cognitive and Connected Imaging)
Heliaus (tHErmaL vIsion AUgmented awarenesS)
License:
Creative Commons Attribution
2031 Views
Categories:
Artificial Intelligence
Digital signal processing
Machine Learning
Image Processing
Computational Intelligence
Sensors
Keywords:
Thermal imaging, ADAS, LWIR, Object detection dataset, Autonomous vehicle
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Abstract 

The C3I Thermal Automotive Dataset provides > 35,000 distinct frames along with annotated thermal frames for the development of smart thermal perception system/ object detection system that will enable the automotive industry and researchers to develop safer and more efficient ADAS and self-driving car systems. The overall dataset is acquired, processed, and open-sourced in challenging weather and environmental scenarios. The dataset is recorded from a lost-cost yet effective 640x480 uncooled LWIR thermal camera. The dataset is gathered by mounting the camera stand-alone and on an electric vehicle to minimize mechanical vibrations.

Instructions: 

This Dataset is Published by NUIG under HELIAUS EU Project.
All researchers/professionals need to follow the instructions below to access the datasets.

• If you are using this dataset it is requested to fill the google dataset dissemination form (Link: https://docs.google.com/forms/d/e/1FAIpQLSfi8K8DE4a6kBtVD3GyCXvMCcTrvSCm...). Please use institutional/ Company email address(es). Commercial emails such as Gmail are not allowed.
• Annotation for bounding boxes is provided to train YOLO/ YOLO-v5 based detectors.
• Also please cite this dataset along with the following papers.

1. M. A. Farooq, P. Corcoran, C. Rotariu and W. Shariff, "Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)," in IEEE Access, vol. 9, pp. 156465-156481, 2021, doi: 10.1109/ACCESS.2021.3129150.
Link: https://ieeexplore.ieee.org/document/9618926

2. M. A. Farooq, W. Shariff and P. Corcoran, "Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems," in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2022.3158094.
Link: https://ieeexplore.ieee.org/document/9732195

Thank you

Best Regards
Muhammad Ali Farooq
PhD Researcher
Email: m.farooq3@nuigalway.ie; mail.frq@gmail.com
Cell no: +3530899556961
NUIG-Ireland

Funding Agency: 
ECSEL Joint Undertaking (JU) under grant agreement No 826131

Comments

Submitted by Muhammad Ali Farooq

Submitted by Muhammad Ali Farooq on Sat, 03/26/2022 - 12:19

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